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Senior Staff Software Engineer (Host Pricing & Settings)

Airbnb · United States

External listingfull-time24 days ago

About The Role

Join Airbnb as a Senior Staff Software Engineer in the Host Pricing & Settings team. You will be responsible for defining the technical strategy for the full Modeling → ML Serving → API interface across the Host Pricing organization. You will lead the buildout of a unified serving stack, architect backfill and evaluation infrastructure, and establish domain contracts between Modeling and Serving. You will also write and review code, partner with various teams, drive milestone planning, and mentor engineers.

  • Définir l'architecture et les contrats régissant le passage des modèles du développement à la production, y compris la conception du magasin de fonctionnalités et la gestion du schéma des modèles.
  • Diriger la construction d'une pile de service unifiée qui élimine les mises en œuvre uniques par modèle et offre aux scientifiques des données un chemin clé en main de l'entraînement à la production.
  • Établir des contrats de domaine entre la modélisation et le service afin que chaque équipe puisse avancer de manière indépendante avec des interfaces claires et appliquées.
  • Deep understanding of ML systems design: feature stores, training/serving consistency, model versioning, and online/offline inference pipelines
  • Strong programming skills in Java, Kotlin, Scala, and/or Python
  • Proven ability to lead cross-team technical initiatives spanning ML and platform engineering
  • Expertise with architectural patterns of large, high-scale applications — well-designed APIs, efficient data contracts, multi-tenant serving infrastructure
  • 12+ years in backend or platform engineering, with substantial experience building production ML systems or data-intensive infrastructure
  • Experience with high-scale batch and real-time data pipelines (Spark, Airflow, Kafka, or equivalent), including point-in-time correctness for backfills
  • Feature Store Depth: Production experience with Chronon, Tecton, Feast, or equivalent — including online/offline consistency and backfill automation
  • Domain Contract Design: Track record defining and enforcing technical contracts between ML modeling, MLI, serving teams and/or product surfaces
  • Model Serving Infrastructure: Experience with model schema management, multi-version support, and model composition frameworks
  • Evaluation Velocity: Measurable impact improving the speed at which ML teams evaluate candidate models and ship to production

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